Novel Matching Algorithm for Effective Drone Detection and Identification by Radio Feature Extraction by Teng Wu, Yan Du, Runze Mao, Hui Xie, Shengjun Wei, Changzhen Hu

“…To address this challenge, this paper proposes a novel drone detection and identification algorithm based on transmission signal analysis. …”
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Comprehensive Review of Hybrid Feature Selection Methods for Microarray-Based Cancer Detection by Azka Khoirunnisa, Didit Adytia, Mustafa Mat Deris, Adiwijaya

“…Even with such usefulness, these methods are bound to restrictive elements individually that could compromise the precision of cancer detection systems. More recently, the focus of research has shifted to hybrid approaches that merge several feature selection techniques to mitigate the weaknesses of one method while maximizing the strengths of others. …”
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A big data analysis algorithm for massive sensor medical images by Sarah A. Alzakari, Nuha Alruwais, Shaymaa Sorour, Shouki A. Ebad, Asma Abbas Hassan Elnour, Ahmed Sayed

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Fusion of Deep and Time–Frequency Local Features for Melanoma Skin Cancer Detection by Hamidreza Eghtesaddoust, Morteza Valizadeh, Mehdi Chehel Amirani

“…After the fusion of the mentioned features, semisupervised discriminant analysis (SDA) reduces the highly correlated and redundant features. …”
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Random forest–based feature selection and detection method for drunk driving recognition by ZhenLong Li, HaoXin Wang, YaoWei Zhang, XiaoHua Zhao

“…A method for drunk driving detection using Feature Selection based on the Random Forest was proposed. …”
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Domain Alignment Dynamic Spectral and Spatial Feature Fusion for Hyperspectral Change Detection by Xuexiang Qin, Yuxiang Zhang, Yanni Dong

“…Change detection is an important task in geospatial analysis that aims to identify noticeable variations in geographic elements between images captured at different periods. …”
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Graph-contrast ransomware detection (GCRD) with advanced feature selection and deep learning by Suneeta Satpathy, Pratik Kumar Swain

“…To overcome the limitations of conventional detection strategies, this study proposes the Graph-Contrast Ransomware Detection (GCRD) model comprising Graph-Based Feature Selection (GFS), Contrastive Learning (CLR), and Transformer-Based Classification (FT-Transformer + MLP). …”
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Detecting Urban Mobility Structure and Learning Functional Distribution with Multi-Scale Features by Jia Li, Chuanwei Lu, Haiyan Liu, Jing Li, Dewei Zhou, Qingyun Liu

“…Urban mobility structure detection and functional distribution learning are significant for urban planning and management. …”
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Quantitative Detection of Water Content of Winter Jujubes Based on Spectral Morphological Features by Yabei Di, Huaping Luo, Hongyang Liu, Huaiyu Liu, Lei Kang, Yuesen Tong

“…This study is based on using spectral morphological features to quantitatively detect the water content of winter jujubes, and it extends the research scope to the composite effect of spectral morphological features on the basis of previous research. …”
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Correlation Analysis of Imaging and Pathological Features of Ependymomas by Sun D, Chen F, Wang Z

“…Imaging analysis included lesion diameter, location, morphology, surrounding oedema and enhancement manifestations; pathological analysis included histopathological examination and immunohistochemical detection, with detection indicators including glial fibrillary acidic protein (GFAP), S-100 protein, EMA, Ki-67 and other markers. …”
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Advanced Classifiers and Feature Reduction for Accurate Insomnia Detection Using Multimodal Dataset by Ameya Chatur, Mostafa Haghi, Nagarajan Ganapathy, Nima TaheriNejad, Ralf Seepold, Natividad Martinez Madrid

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Learning by precedents based on the analysis of the features properties by V. V. Krasnoproshin, V. G. Rodchanka

“…A method of learning based on the analysis of the properties of feature combinations and building feature subspaces where classes do not intersect is proposed. …”
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Graph-based analysis of histopathological images for lung cancer classification using GLCM features and enhanced graph by Imam Dad, JianFeng He, Zulqarnain Baloch

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Quantitative detection of trace nanoplastics (down to 50 nm) via surface-enhanced Raman scattering based on the multiplex-feature coffee ring by Xinao Lin, Fengcai Lei, Xiu Liang, Yang Jiao, Xiaofei Zhao, Zhen Li, Chao Zhang, Jing Yu

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Different Biometrical Features for Detecting Human Intrusion Using Artificial Intelligence: Literature Review by Ansam Younis

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Acoustic emission detection and defect identification method for micro-leakage in natural gas pipeline valves by Lizhen ZHANG, Wen'ao WANG

“…These intricate and redundant time-frequency domain feature matrices were transformed into two-dimensional and threedimensional feature factor matrices utilizing Principal Component Analysis (PCA). …”
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Intelligent Detection of Oceanic Front in Offshore China Using EEFD-Net with Remote Sensing Data by Ruijie Kong, Ze Liu, Yifei Wu, Yong Fang, Yuan Kong

Subjects: “…automatic detection algorithm…”
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Computer Vision for Substrate Detection in High‐Throughput Biomaterial Screens Using Bright‐Field Microscopy by Robert Owen, Aishah Nasir, Mahetab H. Amer, Chenxue Nie, Xuan Xue, Laurence Burroughs, Chris Denning, Ricky D. Wildman, Faraz A. Khan, Morgan R. Alexander, Felicity R. A. J. Rose

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Semantic Features-Based Discourse Analysis Using Deceptive and Real Text Reviews by Husam M. Alawadh, Amerah Alabrah, Talha Meraj, Hafiz Tayyab Rauf

“…The final results indicate that semantically aware features inspire more confidence to detect deception in text.…”
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Construction of Clinical Predictive Models for Heart Failure Detection Using Six Different Machine Learning Algorithms: Identification of Key Clinical Prognostic Features by Qu FZ, Ding J, An XF, Peng R, He N, Liu S, Jiang X

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